Protein engineering of an alkaline protease from Bacillus licheniformis (BLAP) for efficient and specific chiral resolution of the racemic ethyl tetrahydrofuroate

IF 3.4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Xinjun Yu , Yichao Li , Zhaoxia Qian, Litian Wei, Jing Xie, Meijun Tong, Yinjun Zhang
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引用次数: 0

Abstract

Enzymatic resolution of ethyl tetrahydrofuroate to produce (S)-2-ethyl tetrahydrofuroate and (R)-2-tetrahydrofuroic acid is a green biomanufacturing strategy. However, enzymatic activity and selectivity are still limiting factors of their industrial applications and development. In previous study, we incidentally found that a Bacillus licheniformis alkaline protease (BLAP), not a lipase, could specifically resolve ethyl tetrahydrofuroate to produce (S)-2-ethyl tetrahydrofuroate and (R)-2-tetrahydrofuroic acid. In this study, the point-saturation-mutation libraries based on the seven amino acid sites (L105, I113, P114, L115, V309, Y310, and M326) were constructed and screened using the molecular docking technology. It was found that activity of the mutant BLAPY310E reached 182.78 U/mL with high stereoselectivity, 3.14 times higher than that of the wild-type BLAP. Further simulated mutation analysis showed that the Y310E mutation increased the distance from the substrate ligand to the binding pocket from 2.3 Å to 4.5 Å, reducing steric hindrance to the active center. Under the optimal conditions and after 3.5 h of reaction catalyzed by BLAPY310E, 200 mM ethyl tetrahydrofuroate was converted to (S)-2-ethyl tetrahydrofuroate and (R)-2-tetrahydrofuroic acid with the ee values of 99.9 % and 68.63 %, respectively. The enantiomeric ratio of BLAPY310E was 105.5, which was 30.23 times higher than that of BLAP. This study advances the comprehension of protease activity and selectivity mechanisms in resolving ester substances and lays a robust foundation for the industrial production of the optically pure (S)-2-ethyl tetrahydrofuroate and (R)-2-tetrahydrofuroic acid via biological enzymatic methods.
地衣芽孢杆菌碱性蛋白酶(BLAP)的蛋白质工程,用于高效、特异性手性解析外消旋四氢糠酸乙酯。
酶解四氢糠酸乙酯生成(S)-2-四氢糠酸乙酯和(R)-2-四氢糠酸是一种绿色生物制造策略。然而,酶的活性和选择性仍是其工业应用和发展的限制因素。在之前的研究中,我们偶然发现地衣芽孢杆菌碱性蛋白酶(BLAP)而非脂肪酶能特异性地分解四氢糠酸乙酯,生成(S)-2-四氢糠酸乙酯和(R)-2-四氢糠酸。本研究构建了基于七个氨基酸位点(L105、I113、P114、L115、V309、Y310 和 M326)的点饱和突变库,并利用分子对接技术进行了筛选。结果发现,突变体BLAPY310E的活性达到182.78 U/mL,具有很高的立体选择性,是野生型BLAP的3.14倍。进一步的模拟突变分析表明,Y310E突变使底物配体到结合口袋的距离从2.3埃增加到4.5埃,减少了对活性中心的立体阻碍。在最佳条件下,BLAPY310E催化反应3.5 h后,200 mM四氢糠酸乙酯被转化为(S)-2-四氢糠酸乙酯和(R)-2-四氢糠酸,ee值分别为99.9 %和68.63 %。BLAPY310E 的对映体比率为 105.5,是 BLAP 的 30.23 倍。这项研究加深了人们对蛋白酶解析酯类物质的活性和选择性机制的理解,为通过生物酶解方法工业化生产光学纯的(S)-2-乙基四氢呋喃酸和(R)-2-四氢呋喃酸奠定了坚实的基础。
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来源期刊
Enzyme and Microbial Technology
Enzyme and Microbial Technology 生物-生物工程与应用微生物
CiteScore
7.60
自引率
5.90%
发文量
142
审稿时长
38 days
期刊介绍: Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.
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